Estimating thermal infrared broadband emissivity of arid region using remote sensing

Kenta Ogawa; Thomas J. Schmugge; Shuichi Rokugawa

doi:10.1117/12.583186

20 January 2005 Estimating thermal infrared broadband emissivity of arid region using remote sensing

Kenta Ogawa, Thomas J. Schmugge, Shuichi Rokugawa

Proceedings Volume 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II; (2005) https://doi.org/10.1117/12.583186
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

Surface emissivity in the thermal infrared region is an important parameter for the studies of energy budget and surface energy balance. This paper focuses on estimating broadband emissivity using two sensors on NASA's Earth Observing System (EOS) Terra satellite, Advanced Spaceborne Thermal Emission and reflection Radiometer (ASTER) and MODerate resolution Imaging Spectrometer (MODIS). We developed a regression approach to generate infrared broadband emissivity maps from ASTER or MODIS data. The regressions are to relate the broadband emissivity to the emissivities for the ASTER or MODIS channels. The both regressions were calibrated using libraries of spectral emissivities. We applied this approach for ASTER and MODIS data acquired over the North Africa and Australia. The range of the broadband emissivity was found to be between 0.86 and 0.96 for the desert area. The root mean difference between the emissivities from these two sensors is smaller than 0.015. Such emissivity map could be used as an input of climate model and could contribute for improving the simulated surface and air temperature up to 1.1 and 0.8 °C respectively. The method can be applied to any arid regions of the world.

Citation Download Citation

Kenta Ogawa, Thomas J. Schmugge, and Shuichi Rokugawa "Estimating thermal infrared broadband emissivity of arid region using remote sensing", Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); https://doi.org/10.1117/12.583186

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KEYWORDS

MODIS

Infrared radiation

Thermography

Lanthanum

Climatology

Imaging systems

Remote sensing

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